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Year: 2023

Presenter Name: Rosemary Mwithiga

Breast cancer is one of the most recurrent types of cancer. Each year the number of deaths due to breast cancer increases significantly. It is estimated that the number of people who will be diagnosed with cancer will be higher in the near future. Detecting, diagnosing and preventing breast cancer became a necessity. Developments and progress made to predict and diagnose breast cancer are vital in treatment and care plans for patients. Researchers around the world are working on how to detect breast cancer in the most efficient way. Our project is to study breast cancer detection based on the different characteristics of the diagnosed cancer cell. Applied statistical and machine learning techniques will be applied to accurately detect the possibility of breast cancer. Comparative studies for different techniques will be made
University / Institution: Utah Tech University
Type: Poster
Format: In Person
Presentation #B39
SESSION B (10:45AM-12:15PM)
Area of Research: Science & Technology
Faculty Mentor: Md Sazib Hasan